Senior Applied AI Engineer

🔥 0 minutes ago

🌐 United Kingdom, Denmark, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇩🇰 Denmark – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote 🇸🇪 Sweden – Remote 🇮🇳 India – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pleo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 $42.9M Debt Financing - Pleo on 2024-04

B2B • SaaS • Fintech

Pleo is a spend-management platform for businesses that provides company cards, automated expense management and configurable spend controls. Its product messaging highlights AI-powered reviews, card limits, approval flows and other tools to manage corporate spending for small, medium and enterprise customers. Pleo is delivered as software to help finance teams control, track and automate business expenses and card usage.

📋 Description

• Build and ship AI-powered product features for Pleo’s customers, owning outcomes end-to-end for a scoped area • Design and build end-to-end RAG systems, including chunking strategies, embedding model selection, retrieval optimisation, and quality evaluation • Own the full AI-product lifecycle, including prompt design, context and state management, agentic loops, output parsing, edge-case handling, and safe production deployment • Build evaluation datasets and automated evaluation pipelines • Instrument AI features for production observability through logging, drift detection, quality monitoring, and alerting • Collaborate with Product and Design to scope AI features from first principles • Partner with the GenAI Platform team to identify infrastructure needs and promote platform tooling adoption • Support engineers through reviews, pairing, and technical leadership • Familiarise yourself with Pleo’s codebase, tooling, and roadmap • Help define the approach to AI feature development and shape the GenAI Core roadmap • Collaborate with Product and Data teams to ship a first feature to production

🎯 Requirements

• Proven experience shipping customer-facing AI features using LLMs into production systems • Deep practical experience designing RAG systems and retrieval pipelines • Experience with embedding models, vector databases, chunking, hybrid search, and re-ranking • Experience building and operating evaluation frameworks for LLM-based systems • Strong production-grade, tested, and maintainable Python engineering • Experience building APIs and data-retrieval pipelines that provide context to AI systems • Ability to reason about data quality, schemas, and retrieval architecture • Experience with agentic system patterns, tool use, multi-step orchestration, and error handling in LLM workflows • Familiarity with AWS or GCP • Openness to contributing to Kotlin components in a polyglot platform • Strong product instincts and user-focused development • Understanding of LLMOps, data retrieval, prompt and context engineering, and production model evaluation • Ability to explain AI trade-offs clearly to non-technical stakeholders • Valid right to work in the selected country; Pleo cannot offer visa sponsorship • Application must be submitted in English

🏖️ Benefits

• Your own Pleo card (no more out-of-pocket spending!) • Catered meals or a lunch allowance based on your local office • Comprehensive private healthcare, with coverage options depending on location • 25 days of holiday plus public holidays • Hybrid and fully remote working options • Free mental health and well-being support through MyndUp • Paid parental leave • Career development through bigger projects, leadership opportunities, and acquiring new skills